Triple
T7216263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Gooden |
E149542
|
entity |
| Predicate | ERAChampion |
P75491
|
FINISHED |
| Object | 1985 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1985 | Statement: [Dwight Gooden, ERAChampion, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ERAChampion Context triple: [Dwight Gooden, ERAChampion, 1985]
-
A.
stateOfChampion
Indicates the relationship in which an entity holds the status or title of being a champion in a particular context or competition.
-
B.
homeArenaChampion
Indicates that an entity is recognized as the champion or primary representative associated with a particular home arena.
-
C.
featuredWorldChampion
Indicates that an entity has been highlighted or showcased specifically in its capacity as a world champion.
-
D.
notableFormerChampion
Indicates that an entity was once a champion of something and is recognized as particularly distinguished or prominent in that former champion role.
-
E.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99000dc81908ef4b70729cc00b0 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e889854481908c765ce2107f2d3a |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 27, 2026, 2:53 p.m.